code: def _handle_padding_shape(padding, n, mode):
      padding = tuple(
          [
              (padding[i * 2], padding[i * 2 + 1])
              for i in range(int(len(padding) / 2) - 1, -1, -1)
          ]
      )
      if mode == "circular":
          padding = padding + ((0, 0),) * (n - len(padding))
      else:
          padding = ((0, 0),) * (n - len(padding)) + padding
      if mode == "circular":
          padding = tuple(list(padding)[::-1])
      return padding
  
file_path: ivy/ivy/functional/frontends/torch/nn/functional/vision_functions.py
imports: import ivy
  from ivy import with_unsupported_dtypes, with_supported_dtypes
  from ivy.functional.frontends.torch.func_wrapper import to_ivy_arrays_and_back
label_desc: Use image node_id 1 for calling a global function with example usage: _handle_padding_shape(padding, n, mode) and returns: padding